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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chaves Brandao dos Santos, L. Almeida, J. Dos Santos, J.A. Ferzoli Guimaraes, S.J. De Albuquerque Araujo, A. Alberton, B. Cerdeira Morellato, L.P. Da Silva Torres, R. |
| Copyright Year | 2014 |
| Description | Author affiliation: Inst. of Sci. & Technol., Fed. Univ. of Sao Paulo, Sao Jose dos Campos, Brazil (Almeida, J.) || Inst. of Comput., Univ. of Campinas, Campinas, Brazil (Da Silva Torres, R.) || Dept. of Comput. Sci., Univ. Fed. de Minas Gerais, Belo Horizonte, Brazil (Dos Santos, J.A.; De Albuquerque Araujo, A.) || Pontificia Univ. Catοlica de Minas Gerais, Belo Horizonte, Brazil (Ferzoli Guimaraes, S.J.) || Dept. of Botany, Sao Paulo State Univ., Rio Claro, Brazil (Alberton, B.; Cerdeira Morellato, L.P.) |
| Abstract | Plant phenology has been exploited as an important research venue for assessing the impact of climate changes. One common approach for monitoring vegetation relies on the use of digital cameras. The employment of imaging techniques for phenological observation allows the extraction and analysis of visual characteristics based on color and texture information with the objective of determining plant life cycle changes, such as the beginning of the leaf flushing or the senescence period. This paper presents a novel approach for detecting phenological changes by analyzing image temporal series. Our method is based on the use of visual rhythm analysis and the adoption of a dissimilarity measure to detect visual changes in the time line. Experiments were conducted on a three-year data set composed of 3,538 vegetation images and 21 samples of 6 different species of interest. Results demonstrate that the proposed change detection approach is able to effectively identify phenological events. |
| Starting Page | 263 |
| Ending Page | 270 |
| File Size | 1693194 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479942886 |
| e-ISBN | 9781479942879 |
| DOI | 10.1109/eScience.2014.23 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-20 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visualization Event detection Image color analysis Time series analysis Vegetation mapping Rhythm Indexes |
| Content Type | Text |
| Resource Type | Article |
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